When testing for significance among three or more groups, it may be difficult to determine where the significant differences are in a dataset. A ______ can pinpoint the difference(s).

Analysis of Variance (ANOVA)

Post hoc test

Confidence interval

Cross tabulation

True or False: Even with large differences between segmented results, the p-value may not show significance if the sample size is low.

True

False

What is the purpose of hypothesis testing?

To see if differences or relationships in a dataset are strong enough to be projected to the population

To describe the basic features of the data in a study

To find the bell curve in the distribution

To determine if a group of respondents in a survey answered differently from other respondents

Which is considered an inferential test statistic?

Analysis of Variance (ANOVA)

Chi-square

Z-test

All of these are considered inferential test statistics

Examines the strength in relationship between variables.

Correlation analysis

Chi-square

Analysis of Variance (ANOVA)

Mean scores

True or False: The closer the correlation coefficient is to zero, the stronger the relationship between variables.

True

False

Which is considered an inferential test statistic?

Mean

Cross-tabulation

Analysis of Variance (ANOVA)

Qualitative data analysis

Which is true about the null hypothesis?

It assumes a difference between groups does not exist in the target population

It predicts a difference between groups does exist in the target population

It can only be tested using survey research data

It can only be tested using categorical data

When the same group of respondents rates two different concepts on a 1-5 Likert scale where 1=not at all interested and 5=very interested, which inferential test statistic is the best fit?

Chi-square

Analysis of Variance (ANOVA)

Paired t-test

Correlation analysis

In a product test, 78% of those surveyed prefer a blue phone while 71% prefer a red phone. To test if there is a significant difference between the two occuring in the target population, which test will have to be run?

T-test

Z-test

Correlation

Analysis of Variance (ANOVA)

Survey data was collected which showed a satisfaction score of 4.5 overall. However, different satisfaction scores were found among those living in four different time zones. In order to see if the differences between time zones are significant, which test will have to be run?

T-test

Z-test

Correlation

Analysis of Variance (ANOVA)

A test used to compare two categorical sample proportions on a single characteristic.

Paired t-test

Chi-square

Z-test

Margin of error